ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1302.4886
  4. Cited By
Fast methods for denoising matrix completion formulations, with
  applications to robust seismic data interpolation

Fast methods for denoising matrix completion formulations, with applications to robust seismic data interpolation

20 February 2013
Aleksandr Aravkin
Rajiv Kumar
Hassan Mansour
Ben Recht
Felix J. Herrmann
ArXivPDFHTML

Papers citing "Fast methods for denoising matrix completion formulations, with applications to robust seismic data interpolation"

3 / 3 papers shown
Title
Basis Pursuit Denoise with Nonsmooth Constraints
Basis Pursuit Denoise with Nonsmooth Constraints
R. Baraldi
Rajiv Kumar
Aleksandr Aravkin
30
10
0
28 Nov 2018
Dynamic matrix factorization with social influence
Dynamic matrix factorization with social influence
Aleksandr Aravkin
Kush R. Varshney
Liu Yang
21
7
0
21 Apr 2016
The Projected GSURE for Automatic Parameter Tuning in Iterative
  Shrinkage Methods
The Projected GSURE for Automatic Parameter Tuning in Iterative Shrinkage Methods
Raja Giryes
Michael Elad
Yonina C. Eldar
92
129
0
21 Mar 2010
1